Top Machine Learning Jobs in Paris

The Senior AI Engineer will develop AI tools to enhance developer productivity at Datadog, focusing on LLM-based systems, prompts, and integration with existing products, while collaborating with various teams and users.

The Junior Sales Engineer coordinates with Account Representatives, designs technical solutions, delivers training, supports clients, and creates prototypes while ensuring successful implementations.

As a Senior Applied Scientist, you will design machine learning solutions, develop scalable features, and analyze data within the Datadog app, collaborating with engineering and product teams.

As an AI Researcher at Datadog, you'll conduct cutting-edge research in AI, focusing on foundation models and AI agents for observability and reliability, collaborating with cross-functional teams, and contributing to scientific publications.

Lead product strategy and roadmap for AI and data security features—AI discovery, posture management, and data protection. Collaborate with engineering, design, security research, and GTM teams to define, build, and launch capabilities. Engage customers to validate solutions and drive adoption while translating security research into actionable product features.

Lead technical sales for enterprise accounts: design and demonstrate Cloudera solutions, discover customer use cases, support pre- and post-sales, partner with account managers, advocate customer needs internally, and evangelize externally.

Lead product development for Datadog APM features, focusing on distributed tracing, performance analysis, and AI-driven troubleshooting. Work with engineers, designers, and customers to validate problems, deliver prototypes to production, define go-to-market, and measure adoption and impact.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Lead and implement commercial strategy for radiology AI product: define go-to-market, KPIs and roadmap; generate leads and close deals; build and manage sourcing/sales team; integrate commercial processes with R&D, product, regulatory (FDA/CE), partnerships and delivery; frequent travel, especially to the US.

As a Machine Learning Engineer, you will design and optimize models for tactical robots, leveraging self-supervised learning from EO and IR data.

Design and develop UWB, radar and camera-based data fusion algorithms and sensing features. Perform DSP analysis, feature extraction, algorithm optimization, AI model integration, end-to-end integration and validation, and cross-team collaboration for automotive sensing products.

Own the full enterprise sales cycle for API and web app offerings: discovery, qualification with MEDDPICC, proposal, negotiation and close. Build and manage pipeline, collaborate with BDR/Marketing/Product/ML, track activity in HubSpot, contribute to sales playbooks, and travel to meet strategic accounts.

As a Growth Manager, you'll optimize user acquisition across multiple apps using innovative strategies while collaborating with various teams to boost efficiency and adapt to industry trends.

You will analyze creative performance, automate workflows, scale production, partner with User Acquisition teams, and improve creative processes.

Lead regional marketing strategy and execution to build brand awareness, generate enterprise pipeline, and drive customer adoption. Own positioning, demand generation, events, content, ABM, and cross-functional collaboration with Sales, Product, Partnerships, and Global Marketing to convert market opportunities into measurable business outcomes.

As a Senior Data Scientist at Back Market, you will design and implement machine learning models to optimize pricing strategies, collaborate with engineers, and communicate findings to stakeholders.

Develop and implement machine learning and deep learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define model requirements, evaluate and optimize models for clinical applications, and write reports and scientific publications.

Develop and implement machine learning algorithms to analyze MRI data, collaborate with neuroscientists and clinicians to define requirements, evaluate and optimize decoding and foundation models for clinical use, and write scientific reports and publications.

Lead and grow a global applied science organization (20+), set technical vision for identity verification and fraud-detection AI, drive research-to-production projects with measurable business impact, engage customers and cross-functional stakeholders, and champion responsible, fair, and explainable biometric and identity ML systems.

The role involves developing NLP models, maintaining them, designing conversational agents for legal drafting, and collaborating with various teams to innovate legal AI solutions.

Six-month Operations internship supporting analysis, diagnostics, hypothesis-driven recommendations, and deliverable preparation across Engineering, Procurement, Manufacturing, Supply Chain and Digital Operations. Perform data analysis, develop recommendations, manage simple workstreams, interact with clients internationally, and build domain expertise. Potential conversion to a permanent role.

As a Machine Learning Engineer at Doctrine, you will develop NLP models and conversational agents to streamline legal information access and enhance product features.

As an AI Solutions Architect, you will design scalable AI architectures, assess technical feasibility, optimize solutions for performance and reliability, and provide technical leadership across teams to ensure successful AI deployments.

Lead and grow an Applied Science team building agentic AI/ML capabilities across Product Analytics (event understanding, conversational analytics, automated insight reporting, session-replay issue detection). Define technical vision and roadmap, move prototypes to production, hire and onboard scientists, partner with product and engineering, and represent team priorities to stakeholders.

Lead and scale Joko's end-to-end B2C growth engine (acquisition, activation, retention, reactivation). Own growth budget, LTV/CAC, measurement and incrementality, identify new growth loops, scale AI across growth operations, and build a high-performing Growth team while partnering with Product and Data for rapid execution.